Participation in an early childhood music programme and socioemotional development: A meta-analysis
Bibliographic record
Abstract
Music is increasingly recognized as having a social role, insofar as it is linked to emotional regulation and to early interactions in infancy and the preschool years. The goal of this meta-analysis was to examine the impact of participating in an early childhood music programme on indices of socioemotional development in children under 6 years of age. The overall result showed a moderate effect size ( N = 681, k = 11, d = 0.57, p < 0.001). Moderation analyses revealed that the type of assessment (observational measure, reported measure or other types of assessment) significantly influenced effect size ( Q′ = 25.26, p < 0.001). No other moderation analysis was significant. Although these findings are promising, suggesting that participation in an early childhood music programme contribute to children’s socioemotional development, more rigorous studies are needed to assess the impact of participating in a music programme on socioemotional development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.032 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".